The shortcomings of the existing single Finite State Machine (FSM) model and diagnosis method are given by analyzing the single FSM model and problem model. Then, according to the shortcomings of the current single FSM error model, a new state machine model and problem model are proposed, that is, t

A finite-time convergent Zhang neural network and its application to real-time matrix square root finding

A finite-time recurrent neural network for solving online time-varying Sylvester matrix equation based on a new evolution formula

Hardcover: 912 pages Publisher: McGraw-Hill Science/Engineering/Math; 3 edition (January 11, 2005) Language: English ISBN-10: 0072466855 ISBN-13: 978-0072466850

fv-solver-mhd 磁流体动力学方程的高阶有限体积求解器

fv-solver-srhd 相对论流体力学方程的高阶有限体积求解器

fv-solver-sw 浅水方程组的高阶有限体积求解器

The third edition, consisting of 15 chapters, includes a number of new additions and changes that were incorporated in response to suggestions and requests made by professors, students, and professionals using the second edition of the book. The major changes include: • A new section on using Excel to manipulate matrices • A new comprehensive appendix on MATLAB • More detail on theory and expanded derivations • Reorganization of Chapter 15 to include examples of batch files • Additional problems

Over the past few decades, mathematical models have become an increasingly important tool for Earth scientists to understand and make predictions about how our planet functions and evolves through time and space. These models often consist of partial differential equations (PDEs) that are discretized with a numerical method and solved on a computer.Themost commonly used discretization methods are the finite difference method (FDM), the finite volume method, the finite element method (FEM), the discrete element method, the boundary element method, and various spectral methods.

英文原版《有限单元法》第2版，K. J Bathe 的经典之作。